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Microsoft Healthcare United States

Acentra Health

Data Lake / Data Warehouse Modernization · Real-time Analytics · System Migration

Acentra Health, a US company offering healthcare solutions and services, is embracing generative AI technology and substantially saving time for its specially trained nurses.

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Acentra Health provides technology and clinical services to state health and human services agencies, federal clients, and commercial organizations.
Acentra Health reduced the time spent on each appeal determination letter by about 50%, saved 11,000 nursing hours and nearly $800,000, helped each nurse process 20-30 letters daily
In mid-2023, Acentra Health began developing its generative AI­­­-powered tool, MedScribe. This web application connects to Azure OpenAI Service and generates an initial response letter for each appeal according to the p...
Saving 11,000 nursing hours with a 99% approval rate

Reported impact

Business outcome

Acentra Health reduced the time spent on each appeal determination letter by about 50%, saved 11,000 nursing hours and nearly $800,000, helped each nurse process 20-30 letters daily

  • Compliance
  • Cost Reduction
  • Productivity Improvement
  • Speed to Market

Solution

Acentra Health, a US company offering healthcare solutions and services, is embracing generative AI technology and substantially saving time for its specially trained nurses. Within six months, the company developed and deployed MedScribe, a web application that uses Azure OpenAI Service to generate draft letters that respond to appeals for healthcare services. Generative AI-powered tools are creating new opportunities for the healthcare industry to maximize workforce talents and introduce new efficiencies to cut costs. As a provider of technology and health solutions and services for government healthcare agencies, Acentra Health is pioneering generative AI solutions in a secure, governed environment. Acentra Health saw an opportunity to harness generative AI to simplify this writing process. The company had worked with Microsoft before on AI initiatives and began to conceptualize a new web application that could use the Microsoft Azure ecosystem.

Data flow

Operational and business data is gathered from the customer's source systems and published to teams through Power BI dashboards.

Solution architecture

2 components · 2 layers
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  2. Serving
    • Power BI Publishes dashboards and reports so teams can monitor operations and act on live insights.

Architecture clues

  • Acentra Health saw an opportunity to harness generative AI to simplify this writing process. The company had worked with Microsoft before on AI initiatives and began to conceptuali...
  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Generative AI-powered tools are creating new opportunities for the healthcare industry to maximize workforce talents and introduce new efficiencies to cut costs.
  • Michael Worthington, Vice President of AI and Analytics, Acentra Health
  • Power BI: Publishes dashboards and reports so teams can monitor operations and act on live insights.
  • Within six months, the company developed and deployed MedScribe, a web application that uses Azure OpenAI Service to generate draft letters that respond to appeals for healthcare s...

Evidence from the source

Acentra Health reduced the time spent on each appeal determination letter by about 50%, saved 11,000 nursing hours and nearly $800,000, helped each nurse process 20-30 letters daily
Acentra Health, a US company offering healthcare solutions and services, is embracing generative AI technology and substantially saving time for its specially trained nurses.
Generative AI-powered tools are creating new opportunities for the healthcare industry to maximize workforce talents and introduce new efficiencies to cut costs.
With MedScribe, Acentra Health reduced the time that its specially trained nursing staff spent on each appeal determination letter by approximately 50%.
Within six months, the company developed and deployed MedScribe, a web application that uses Azure OpenAI Service to generate draft letters that respond to appeals for healthcare services.
Transparency Evidence & methodology 90/100 reference value · 92% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Acentra Health customer story

    First-party
    https://www.microsoft.com/en/customers/story/19280-acentra-health-azure
    Source type
    Vendor-published customer story
    Published
    Dec 3, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Acentra Health

    About Us - Acentra Health

    First-party
    https://acentra.com/about-us

    The company says, "We are headquartered in McLean, Virginia."

    Source type
    Official company website
    Supports
    • Region

Date evidence

  • Published on source page Dec 3, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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